How To Annotate Barplot with bar_label() in Matplotlib

Customize Label Size Matplotlib's bar_label()

Annotating barplots with labels like texts or numerical values can be helpful to make the plot look better. Till now, one of the options add annotations in Matplotlib is to use pyplot’s annotate() function. Starting from Matplotlib version 3.4.2 and above, we have a new function, axes.bar_label() that lets you annotate barplots with labels easily.… Continue reading How To Annotate Barplot with bar_label() in Matplotlib

Connect Paired Data Points in a Scatter Plot in Python (Step-by-Step Guide)

Connect paired data points in a scatter plot with arrowheads and labels

Want to connect paired data points in a scatter plot using Matplotlib? This step-by-step tutorial shows you how to draw lines between paired observations so you can easily visualize before–after comparisons, longitudinal changes, and repeated-measures data. We cover four practical methods — a simple plot() + scatter() combo, looping through groups, efficient LineCollection rendering, and… Continue reading Connect Paired Data Points in a Scatter Plot in Python (Step-by-Step Guide)

How to Add Legend to Scatterplot Colored by a Variable with Matplotlib in Python

Matplotlib Scatter plot with legend

Matplotlib, one of the powerful Python graphics library, has many way to add colors to a scatter plot and specify legend. Earlier we saw a tutorial, how to add colors to data points in a scatter plot made with Matplotlib‘s scatter() function. In this tutorial, we will learn how to add right legend to a… Continue reading How to Add Legend to Scatterplot Colored by a Variable with Matplotlib in Python

Visualizing Missing Data with Seaborn Heatmap and Displot

Visualizing Missing Data with Seaborn Displot

Understanding the level of missing data in the data set analysis should be one of the first things we all should do while doing data analysis. In this post, we will use Python’s Seaborn library to quickly visualize how much data is missing in a data set. One of the ways to visualize the missing… Continue reading Visualizing Missing Data with Seaborn Heatmap and Displot

How to Combine Two Seaborn plots with Shared y-axis

Combine Two plots into one in Seaborn

In this tutorial, we will see how to join or combine two plots with shared y-axis. As an example, we will make a scatterplot and join with with marginal density plot of the y-axis variable matching the variable colors. Thanks to Seaborn’s creator Michael Waskom’s wonderful tip on how to do this. 👉 Want more?… Continue reading How to Combine Two Seaborn plots with Shared y-axis

Exit mobile version